Improving prognostic performance in resectable pancreatic ductal adenocarcinoma using radiomics and deep learning features fusion in CT images

As an analytic pipeline for quantitative imaging feature extraction and analysis, radiomics has grown rapidly in the past decade. On the other hand, recent advances in deep learning and transfer learning have shown significant potential in the quantitative medical imaging field, raising the research...

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Detalles Bibliográficos
Autores principales: Zhang, Yucheng, Lobo-Mueller, Edrise M., Karanicolas, Paul, Gallinger, Steven, Haider, Masoom A., Khalvati, Farzad
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7809062/
https://www.ncbi.nlm.nih.gov/pubmed/33446870
http://dx.doi.org/10.1038/s41598-021-80998-y

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7809062/
https://www.ncbi.nlm.nih.gov/pubmed/33446870
http://dx.doi.org/10.1038/s41598-021-80998-y

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